Default parameter to the HumanAnalysisService that can configure the processor to process up to MAX faces concurrently

CaptureError is now thrown when the camera goes offline or is otherwise interrupted while in the middle of processing frames

Redirecting OpenCV range assertion output that comes from the HOG extractor during featurepoint detection. Serves no purpose for a thirdparty developer - used internally for making improvements and thus a dev never needs to do anything with this assertion

Updated the existing demo with a simple UI to provide real-time visual of SDK output

Additional DEMO to showcase how to process a cameral offline scenario

Minor speed improvements

General enhancements

Fixed

The ghosting issue that caused more faces, than are actually in frame, to be returned from the face detector

[1.0.2] - 10/04/2016

Added

Up to 20 faces can be tracked simultaneously

Can now a pass a frame directly into the processor, that was acquired from an individual video capture, image or pre-recorded video acquisition

Other performance enhancements

Fixed

When face left the scene, invalid featurepoints still being tracked

OpenCV debug dlls (Windows version only) missing from the archive

[1.0.1] - 09/27/2016

Added

Support for multi-face tracking

Methods for width and height of the media source (live video, video file or image dimensions for pictures)

Now adding new people to a frame in realtime, as they pass in front of the camera

Created a simple tutorial app to show basic usage of the SDK, with source for a developer to compile (compiles and runs in Linux and Windows)

Fixed

Emotion response scores were too low because it wasn't normalizing the response to produce accurate result

Lookup of .dat file in multiple locations, causing issues during installation and setting up of development environment, now only search for in the models folder

Calculation of dwell now based on frame rate for video instead of start/end time based on system clock